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2020 – today
- 2024
[i19]Ianna Osborne, Jim Pivarski, Jerry (Jiahong) Ling:
Bridging Worlds: Achieving Language Interoperability between Julia and Python in Scientific Computing. CoRR abs/2404.18170 (2024)- [i18]Manasvi Goyal, Andrea Zonca, Amy Roberts, Jim Pivarski, Ianna Osborne:
Describe Data to get Science-Data-Ready Tooling: Awkward as a Target for Kaitai Struct YAML. CoRR abs/2407.14461 (2024) - 2023
- [j2]Jonas Eschle
, Tamás Gál, Mosè Giordano, Philippe Gras, Benedikt Hegner, Lukas Heinrich, Uwe Hernandez Acosta, Stefan Kluth, Jerry (Jiahong) Ling, Pere Mato, Mikhail Mikhasenko, Alexander Moreno Briceño, Jim Pivarski, Konstantinos Samaras-Tsakiris, Oliver Schulz, Graeme Andrew Stewart, Jan Strube, Vassil Vassilev:
Potential of the Julia Programming Language for High Energy Physics Computing. Comput. Softw. Big Sci. 7(1): 10 (2023) - [i17]Ianna Osborne, Jim Pivarski:
Awkward to RDataFrame and back. CoRR abs/2302.09860 (2023) - [i16]Aryan Roy, Jim Pivarski:
Using a DSL to read ROOT TTrees faster in Uproot. CoRR abs/2303.02202 (2023) - [i15]Manasvi Goyal, Ianna Osborne, Jim Pivarski:
The Awkward World of Python and C++. CoRR abs/2303.02205 (2023) - [i14]Jonas Eschle, Tamás Gál, Mosè Giordano, Philippe Gras, Benedikt Hegner, Lukas Heinrich, Uwe Hernandez Acosta, Stefan Kluth, Jerry (Jiahong) Ling, Pere Mato, Mikhail Mikhasenko, Alexander Moreno Briceño, Jim Pivarski, Konstantinos Samaras-Tsakiris, Oliver Schulz, Graeme A. Stewart, Jan Strube, Vassil Vassilev:
Potential of the Julia programming language for high energy physics computing. CoRR abs/2306.03675 (2023) - [i13]Ianna Osborne, Jim Pivarski, Ioana Ifrim, Angus Hollands, Henry Schreiner:
Awkward Just-In-Time (JIT) Compilation: A Developer's Experience. CoRR abs/2310.01461 (2023) - 2022
- [c7]Henry Schreiner, Jim Pivarski, Eduardo Rodrigues:
Awkward Packaging: building Scikit-HEP. SciPy 2022: 115-120 - [i12]Aryan Roy, Jim Pivarski, Chad Wells Freer:
An array-oriented Python interface for FastJet. CoRR abs/2202.03911 (2022) - 2021
- [i11]Jim Pivarski, Ianna Osborne, Pratyush Das, David Lange, Peter Elmer:
AwkwardForth: accelerating Uproot with an internal DSL. CoRR abs/2102.13516 (2021) - 2020
- [c6]Henry Schreiner, Hans Dembinski, Shuo Liu, Jim Pivarski:
Boost-histogram: High-Performance Histograms as Objects. SciPy 2020: 63-69 - [c5]Jim Pivarski, Ianna Osborne, Pratyush Das, Anish Biswas, Peter Elmer:
Awkward Array: JSON-like data, NumPy-like idioms. SciPy 2020: 78-84 - [i10]Jim Pivarski, Peter Elmer, David Lange:
Awkward Arrays in Python, C++, and Numba. CoRR abs/2001.06307 (2020) - [i9]Nicholas Smith, Lindsey Gray, Matteo Cremonesi, Bo Jayatilaka, Oliver Gutsche, Allison Hall, Kevin Pedro, Maria Acosta Flechas, Andrew Melo, Stefano Belforte, Jim Pivarski:
Coffea - Columnar Object Framework For Effective Analysis. CoRR abs/2008.12712 (2020)
2010 – 2019
- 2019
- [i8]Matteo Cremonesi, Claudio Bellini, Bianny Bian, Luca Canali, Vasileios Dimakopoulos, Peter Elmer, Ian Fisk, Maria Girone, Oliver Gutsche, Siew-Yan Hoh, Bo Jayatilaka, Viktor Khristenko, Andrea Luiselli, Andrew Melo, Evangelos Motesnitsalis, Dominick Olivito, Jacopo Pazzini, Jim Pivarski, Alexey Svyatkovskiy, Marco Zanetti:
Using Big Data Technologies for HEP Analysis. CoRR abs/1901.07143 (2019) - 2018
- [c4]Michael A. Sevilla, Reza Nasirigerdeh, Carlos Maltzahn, Jeff LeFevre, Noah Watkins, Peter Alvaro, Margaret Lawson, Jay F. Lofstead, Jim Pivarski:
Tintenfisch: File System Namespace Schemas and Generators. HotStorage 2018 - [i7]Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier M. Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir V. Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark S. Neubauer, Harvey B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Andrew Stewart, Bob Stienen, Ian Stockdale, Giles Chatham Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata:
Machine Learning in High Energy Physics Community White Paper. CoRR abs/1807.02876 (2018) - 2017
- [j1]Maria T. Patterson, Nikolas Anderson, Collin Bennett, Jacob Bruggemann, Robert L. Grossman, Matthew Handy, Vuong Ly, Daniel J. Mandl, Shane Pederson, James Pivarski, Ray Powell, Jonathan Spring, Walt Wells, John Xia:
The Matsu Wheel: a reanalysis framework for Earth satellite imagery in data commons. Int. J. Data Sci. Anal. 4(4): 251-264 (2017) - [c3]Jim Pivarski, Peter Elmer, Brian Bockelman, Zhe Zhang:
Fast access to columnar, hierarchically nested data via code transformation. IEEE BigData 2017: 253-262 - [i6]Oliver Gutsche, Matteo Cremonesi, Peter Elmer, Bo Jayatilaka, Jim Kowalkowski, Jim Pivarski, Saba Sehrish, Cristina Mantilla Suarez, Alexey Svyatkovskiy, Nhan Tran:
Big Data in HEP: A comprehensive use case study. CoRR abs/1703.04171 (2017) - [i5]Jim Pivarski, Peter Elmer, Brian Bockelman, Zhe Zhang:
Fast Access to Columnar, Hierarchical Data via Code Transformation. CoRR abs/1708.08319 (2017) - [i4]Oliver Gutsche, Luca Canali, Illia Cremer, Matteo Cremonesi, Peter Elmer, Ian Fisk, Maria Girone, Bo Jayatilaka, Jim Kowalkowski, Viktor Khristenko, Evangelos Motesnitsalis, Jim Pivarski, Saba Sehrish, Kacper Surdy, Alexey Svyatkovskiy:
CMS Analysis and Data Reduction with Apache Spark. CoRR abs/1711.00375 (2017) - [i3]Jim Pivarski, David Lange, Thanat Jatuphattharachat:
Toward real-time data query systems in HEP. CoRR abs/1711.01229 (2017) - [i2]Brian Bockelman, Zhe Zhang, Jim Pivarski:
Optimizing ROOT IO For Analysis. CoRR abs/1711.02659 (2017) - 2016
- [c2]Maria T. Patterson, Nikolas Anderson, Collin Bennett, Jacob Bruggemann, Robert L. Grossman, Matthew Handy, Vuong Ly, Daniel J. Mandl, Shane Pederson, James Pivarski, Ray Powell, Jonathan Spring, Walt Wells, John Xia:
The Matsu Wheel: A Cloud-Based Framework for Efficient Analysis and Reanalysis of Earth Satellite Imagery. BigDataService 2016: 156-165 - [c1]Jim Pivarski, Collin Bennett, Robert L. Grossman:
Deploying Analytics with the Portable Format for Analytics (PFA). KDD 2016: 579-588 - [i1]Maria T. Patterson, Nikolas Anderson, Collin Bennett, Jacob Bruggemann, Robert L. Grossman, Matthew Handy, Vuong Ly, Dan Mandl, Shane Pederson, Jim Pivarski, Ray Powell, Jonathan Spring, Walt Wells:
The Matsu Wheel: A Cloud-based Framework for Efficient Analysis and Reanalysis of Earth Satellite Imagery. CoRR abs/1602.06888 (2016)
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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